Tata Steel Hiring for Manager Data Engineer at Jamshedpur, Jharkhand, India

Role Description

Build out, maintain, and improve data pipelines. Design systems to mine and acquire data for large-scale data processing and storage solutions.

S. No.

Key Objective / Overall Job Responsibility

Create and maintain optimal data pipeline architecture

Assemble large, complex data sets that meet business requirements

Identify, design, and implement internal process improvements

Build Reports, Dashboards on top of Data in Tableau, Google Looker Studio or SAP Lumira

Create Data Mart on top of Data Warehouse (

Optimize data delivery and re-design infrastructure for greater scalability

Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL,AWS,Azure & GCP technologies

Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency, and other key business performance metrics

Work with internal and external stakeholders to assist with data-related technical issues and support data infrastructure needs

Create data tools for analytics and data scientist team members

Sl. No.

Major Tasks & Responsibilities

(Please mark whether the task is your Responsibility/Accountability or Collaboration/Information Sharing Role).

R/A/C/I

% Time Spent

KPIs

(Units to be tracked – volumes, turnover, cost, productivity, savings.)

Results Expected

• (a

Creating business values through IT and improving IT coverage of business

R

20

SD/SLA

adherence

Improving Service Level Effectiveness i.e. top-box customer satisfaction

R

20

SD/SLA

adherence

Improve Technology currency and Data Platform Landscape

R

20

Application Concurrency

Agile BI development.

R

20

Identify and mitigate risks associated with Data Security threats

R

20

Skills

Technical Competencies

• Database systems like SQL and NoSQL
• Data warehousing solutions
• ETL tools preferably SAP BODS, Google Data Fusion, Informatica
• BI Tools – Tableau, SAP Lumira, Google Looker
• Data Warehouse – Google BigQuery, SAP BW
• Machine learning
• Data APIs
• Python, Java, and Scala programming languages
• Understanding the basics of distributed systems
• Knowledge of algorithms and data structures
• Good knowledge of System Development methodology including Agile Software development.
• Business Process Knowledge & Ability to align IT to Business Process

Other Details

• BE/BTech , BSc(Engineering), ME/MTech, MBA/PGDM, MCA, MSc ( Maths , Stats , OR ,Physics)
• Must be a Full Time Course